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Publications
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- 2021
- Working Paper
Deep Learning for Two-Sided Matching
By: Sai Srivatsa Ravindranatha, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers and David Parkes
We initiate the use of a multi-layer neural network to model two-sided matching and to explore the design space between strategy-proofness and stability. It is well known that both properties cannot be achieved simultaneously but the efficient frontier in this design...
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- July 2021
- Article
Outsourcing Tasks Online: Matching Supply and Demand on Peer-to-Peer Internet Platforms
By: Zoë Cullen and Chiara Farronato
We study the growth of online peer-to-peer markets. Using data from TaskRabbit, an expanding marketplace for domestic tasks at the time of our study, we show that growth varies considerably across cities. To disentangle the potential drivers of growth, we look...
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- May 2021
- Article
Stability, Strategy-Proofness, and Cumulative Offer Mechanisms
By: John William Hatfield, Scott Duke Kominers and Alexander Westkamp
We consider the setting of many-to-one matching with contracts, where firms may demand multiple contracts, but each worker desires at most one contract. We introduce three novel conditions—observable substitutability, observable size monotonicity, and...
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- April 2021 (Revised July 2021)
- Case
StockX: The Stock Market of Things (Abridged)
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust...
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Keywords:
Markets;
Auctions;
Bids and Bidding;
Demand and Consumers;
Consumer Behavior;
Data and Data Sets;
Market Design;
Market Platforms;
Two-Sided Platforms;
Multi-Sided Platforms;
Market Transactions;
Marketplace Matching;
Supply and Industry;
Analysis;
Price;
Product Marketing;
Product Launch;
Apparel and Accessories Industry;
Fashion Industry;
North and Central America;
United States;
Michigan;
Detroit
- February 2021
- Article
Trust and Disintermediation: Evidence from an Online Freelance Marketplace
By: Grace Gu and Feng Zhu
As an intermediary improves trust between the two sides of its market to facilitate matching and transactions, it faces an increased risk of disintermediation: with sufficient trust, the two sides may circumvent the intermediary to avoid the intermediary’s fees. In...
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- January 2021
- Case
Brigad: The Future of Work
By: Nien-he Hsieh, Elena Corsi and Daniela Beyersdorfer
In 2019 Florent Malbranche, CEO and co-founder of the French tech startup Brigad, pondered the next growth steps. Founded in 2015, Brigad’s objective was two-fold: to help restaurants and bars find qualified staff for punctual shifts, and to make it easier for...
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- August 2020
- Article
Lone Wolves in Competitive Equilibria
By: Ravi Jagadeesan, Scott Duke Kominers and Ross Rheingans-Yoo
This paper develops a class of equilibrium-independent predictions of competitive equilibrium with indivisibilities. Specifically, we prove an analogue of the “Lone Wolf Theorem” of classical matching theory, showing that when utility is perfectly transferable, any...
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- March 2020
- Supplement
Poppy (B)
By: Thomas R. Eisenmann, Scott Duke Kominers, Jeff Huizinga and Allison Ciechanover
Avni Patel Thompson, founder and CEO of Poppy, an online marketplace for on-demand childcare, revisits the venture's final months, and discusses the steps she took in the wake of the shutdown. This case explores experiments the company conducted to refine its original...
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- February 2020 (Revised April 2021)
- Case
StockX: The Stock Market of Things
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust...
View Details
Keywords:
Markets;
Auctions;
Bids and Bidding;
Demand and Consumers;
Consumer Behavior;
Data and Data Sets;
Market Design;
Market Platforms;
Two-Sided Platforms;
Multi-Sided Platforms;
Market Transactions;
Marketplace Matching;
Supply and Industry;
Analysis;
Price;
Product Marketing;
Product Launch;
Apparel and Accessories Industry;
Fashion Industry;
North and Central America;
United States;
Michigan;
Detroit
- January 2020
- Case
Lunchclub: Algorithmic Networking
By: Scott Duke Kominers and George Gonzalez
Algorithmic networking startup Lunchclub coordinates in-person meetings between professionals who would have been unlikely to meet. The company faces marketplace design, growth, and monetization challenges: The executive team has to refine Lunchclub's marketplace...
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- December 2019
- Article
Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility
By: Alfred Galichon, Scott Duke Kominers and Simon Weber
We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and...
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- September 2019 (Revised August 2020)
- Case
Engineering an Inclusive Bioeconomy
By: Tarun Khanna, Raffaella Sadun and Susie L. Ma
In 2019, entrepreneur Juan Carlos Castilla-Rubio was developing a project he hoped could generate and share wealth from the natural resources of the Amazon without destroying those resources. His idea, called Earth Bank of Codes (EBC), would create a library of the...
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Keywords:
Decision Making;
Development Economics;
Entrepreneurship;
Innovation and Invention;
Intellectual Property;
Emerging Markets;
Market Design;
Marketplace Matching;
Science;
Genetics;
Natural Environment;
Environmental Sustainability;
Climate Change;
Social Enterprise;
Strategy;
Strategic Planning;
Technology;
Ownership;
Social Psychology;
Trust;
Society;
Biotechnology Industry;
South America;
Amazon Basin
- September 2019
- Article
Optimizing Reserves in School Choice: A Dynamic Programming Approach
By: Franklyn Wang, Ravi Jagadeesan and Scott Duke Kominers
We introduce a new model of school choice with reserves in which a social planner is constrained by a limited supply of reserve seats and tries to find an optimal matching according to a social welfare function. We construct the optimal distribution of reserves via a...
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- December 2018
- Article
Reserve Design: Unintended Consequences and the Demise of Boston's Walk Zones
By: Umut Dur, Scott Duke Kominers, Parag A. Pathak and Tayfun Sönmez
Admissions policies often use reserves to grant certain applicants higher priority for some (but not all) available seats. Boston’s school choice system, for example, reserved half of each school’s seats for local neighborhood applicants while leaving the other half...
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- November 2018
- Case
The Bundesliga in the U.S.
By: Stephen A. Greyser, Sascha L. Schmidt and Florian Holzmayer
The Bundesliga, Germany’s premier football (soccer) league, is assessing its global broadcast and marketing strategy, with special focus on the very lucrative but highly competitive U.S. market. Its CEO Christian Seifert believed that a strong international position...
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- August 2018 (Revised December 2020)
- Case
Lexoo: Building a Long-Lasting Platform
By: Chiara Farronato and Elena Corsi
Daniel van Binsbergen, Lexoo’s CEO, and web developer Chris O’Sullivan, CTO, had set up Lexoo, a UK legal marketplace, to help small and medium enterprises (SME) find legal advice at low prices. Lexoo had recently invested in a new vertical focused on larger companies....
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- March 2018 (Revised August 2018)
- Case
Matching Markets for Googlers
By: Bo Cowgill and Rembrand Koning
This case describes how Google designed and launched an internal matching market to assign individual workers with projects and managers. The case evaluates how marketplace design considerations—and several alternative staffing models—could affect the company’s goals...
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- Article
Strategy-Proofness of Worker-Optimal Matching with Continuously Transferable Utility
By: Ravi Jagadeesan, Scott Duke Kominers and Ross Rheingans-Yoo
We give a direct proof of one-sided strategy-proofness for worker-firm matching under continuously transferable utility. A new “Lone Wolf” theorem (Jagadeesan et al., 2017) for settings with transferable utility allows us to adapt the method of proving one-sided...
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- January 2018 (Revised February 2018)
- Technical Note
Making Markets
Explains how to identify and capitalize on marketplace design opportunities. Defines markets and marketplaces and describes the basic functions of each. Discusses attributes (e.g., heterogeneity of participants' preferences and asymmetry in available information) that...
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- 2017
- Working Paper
Lone Wolves in Competitive Equilibria
By: Ravi Jagadeesan, Scott Duke Kominers and Ross Rheingans-Yoo
This paper develops a class of equilibrium-independent predictions of competitive equilibrium with indivisibilities. Specifically, we prove an analogue of the “Lone Wolf Theorem” of classical matching theory, showing that when utility is perfectly transferable, any...
View Details